The DOI matches its Crossref record; 165 of the 165 references it cites were found in a registry or an index.
Prevention of Major Depression
Abstract
Before the 1980s, no randomized controlled trials had been carried out to test whether major depressive episodes could be prevented. In the past 30 years, several trials have reported success in reducing the incidence (the number of new cases) of major depressive episodes. These studies suggest that major depression can be prevented. Given the large burden of disease caused by major depression, it is time for substantial systematic efforts to replicate these studies, carry out multisite trials, and widely disseminate prevention interventions found to be effective. The present review examines the conceptual and practical differences between treatment and prevention trials and the importance of identifying groups at high short-term risk for major depressive episodes to make prevention trials feasible. We also list the randomized controlled prevention trials that have been carried out to date and discuss the need for prevention interventions that go beyond the limits of traditional face-to-face interventions.
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“However, it has been demonstrated that the most efficient means for population-level intervention is to target those at increased risk [13].”
From A pilot evaluation of a smartphone application for workplace depression (2020) · cites this paper as [13]
In the citing paper
“it has been estimated that over 30,000 participants are needed to adequately power a prevention program evaluation study [40].”
From Acceptance and commitment therapy universal prevention program for adolescents: a feasibility study. (2017) · cites this paper as [40]
In the citing paper
“Furthermore, many universal interventions may not be appropriately powered to find such effects as the sample size required for universal prevention can be overwhelming [66, 67].”
From eHealth interventions for the prevention of depression and anxiety in the general population: a systematic review and meta-analysis (2017) · cites this paper as [66]
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Metadata
- Authors
- Muñoz, R. F., Cuijpers, P., Smit, F., Barrera, A. Z., & Leykin, Y.
- Affiliations
- San Francisco General Hospital (US)
- Amsterdam Public Health (NL)
- Palo Alto University (US)
- Venue
- Annual Review of Clinical Psychology
- Publisher
- Annual Reviews
- Published
- 2010-03-01
- Volume
- 6
- Issue
- 1
- Pages
- 181-212
- ISSN
- 1548-5943 (ISSN-L)
- 1548-5951
- OpenAlex
- W2120806935
- Cited by
- 326
- References
- 163
- Citations by year
- 2026: 8 · 2025: 7 · 2024: 18 · 2023: 17 · 2022: 15 · 2021: 29 · 2020: 21 · 2019: 17 · 2018: 17 · 2017: 19 · 2016: 21 · 2015: 25 · 2014: 36 · 2013: 28 · 2012: 26
- FWCI
- 2.95
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Annual Review of Clinical Psychology (publishedVersion)
- PubMed (publishedVersion)
- Amsterdam UMC (VU Amsterdam) - Institutional Repository (publishedVersion)
- VU Research Portal (publishedVersion)
- Pure Amsterdam UMC (submittedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- Funders
- National Institute of Mental Health (T32MH019391, F32 MH07771)
- Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Health Sciences › Medicine › Psychiatry and Mental health › Mental Health Treatment and Access
- Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
- Keywords
- major depressive disorder, depression prevention, randomized controlled trials, prevention trials, treatment trials, high-risk groups, replication, multisite trials, intervention dissemination, face-to-face intervention
- MeSH terms
- Major Depressive Disorder, Health Promotion, Humans, Incidence, Prevalence
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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